Benchmark: multiple Map usesage

Script Preparation code:

// Create sample data
var array = [];
array.forEach( i => array.push(i) );

var manipulateFn = num => {
	return num * 2 * 3;
}

var manipulateSecondFn = num => {
	return num * 1 * 5;
}

Tests:

.map
var newArray = array.map( i => manipulateFn(i));
.map.map
var newArray = array.map( i => manipulateFn(i)).map( i => manipulateSecondFn(i));

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
.map
.map.map

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one month ago):

LLMs can make mistakes. Check important info.

**Benchmark Explanation**

The provided JSON represents a JavaScript microbenchmarking test case on the MeasureThat.net website. The benchmark is designed to measure the performance of the `.map()` method in JavaScript.

**What is being tested?**

The benchmark tests two different scenarios:

1. **Single `.map()` call**: The script prepares an array `array` by pushing numbers from 0 to infinity using the `forEach()` method and then applies the `manipulateFn` function to each element using the `.map()` method.
2. **Multiple `.map()` calls**: The same script as above, but this time it applies the `manipulateSecondFn` function to each element of the result from the first `.map()` call.

**Options being compared**

Two different approaches are compared:

1. **Single `.map()` call with a single function**: This approach uses a single function (`manipulateFn`) to transform all elements in the array at once.
2. **Multiple `.map()` calls**: This approach applies two separate functions (`manipulateFn` and `manipulateSecondFn`) to each element of the original array, resulting in multiple intermediate arrays.

**Pros and Cons**

1. **Single `.map()` call with a single function**:
	* Pros: Can be more efficient since it only applies one transformation function.
	* Cons: May not take advantage of parallel processing or multi-threading capabilities if available in the JavaScript engine.
2. **Multiple `.map()` calls**:
	* Pros: Can potentially utilize parallel processing and multi-threading capabilities, leading to better performance on multi-core processors.
	* Cons: Requires more memory allocations and function calls, which can lead to increased overhead.

**Library and purpose**

There is no explicit library mentioned in the benchmark definition. However, it is likely that the `Array.prototype.map()` method is being used, which is a built-in JavaScript method that applies a provided function to each element of an array.

**Special JS feature or syntax**

No special JavaScript features or syntax are explicitly mentioned in this benchmark. If there were any, they would be worth mentioning as part of the explanation.

**Other alternatives**

Other alternatives for implementing similar functionality might include:

* Using `reduce()` instead of `.map()`
* Implementing a custom iterative loop to apply transformations to each element
* Using a library like Lodash or Ramda that provides more advanced functional programming features

Keep in mind that these alternatives would likely have different performance characteristics and trade-offs compared to the original benchmark.

Latest run results:

Run details: (Test run date: 6 years ago)

User agent: Mozilla/5.0 (Linux; Android 8.0.0; SM-G965F Build/R16NW) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.3440.91 Mobile Safari/537.36

Browser/OS: Chrome Mobile 68 on Android 8.0.0

View result in a separate tab

Test name	Executions per second
.map	3261218.2 Ops/sec
.map.map	2766207.5 Ops/sec

Related benchmarks:

multiple Map usesage (version: 0)

Comparing performance of: .map vs .map.map

Created: 6 years ago by: Guest

Jump to the latest result

.map

.map.map

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one month ago):